Transplantation Immunology Unit and National Reference Laboratory for Histocompatibility, Geneva University Hospitals, Geneva, Switzerland.
Department of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland.
PLoS Genet. 2022 Jun 6;18(6):e1010212. doi: 10.1371/journal.pgen.1010212. eCollection 2022 Jun.
The Human Leukocyte Antigen (HLA) is a critical genetic system for different outcomes after solid organ and hematopoietic cell transplantation. Its polymorphism is usually determined by molecular technologies at the DNA level. A potential role of HLA allelic expression remains under investigation in the context of the allogenic immune response between donors and recipients. In this study, we quantified the allelic expression of all three HLA class I loci (HLA-A, B and C) by RNA sequencing and conducted an analysis of expression quantitative traits loci (eQTL) to investigate whether HLA expression regulation could be associated with non-coding gene variations. HLA-B alleles exhibited the highest expression levels followed by HLA-C and HLA-A alleles. The max fold expression variation was observed for HLA-C alleles. The expression of HLA class I loci of distinct individuals demonstrated a coordinated and paired expression of both alleles of the same locus. Expression of conserved HLA-ABC haplotypes differed in distinct PBMC's suggesting an individual regulated expression of both HLA class I alleles and haplotypes. Cytokines TNFα /IFNβ, which induced a very similar upregulation of HLA class I RNA and cell surface expression across alleles did not modify the individually coordinated expression at the three HLA class I loci. By identifying cis eQTLs for the HLA class I genes, we show that the non-coding eQTLs explain 29%, 13%, and 31% of the respective HLA-A, B, C expression variance in unstimulated cells, and 9%, 23%, and 50% of the variance in cytokine-stimulated cells. The eQTLs have significantly higher effect sizes in stimulated cells compared to unstimulated cells for HLA-B and HLA-C genes expression. Our data also suggest that the identified eQTLs are independent from the coding variation which defines HLA alleles and thus may be influential on intra-allele expression variability although they might not represent the causal eQTLs.
人类白细胞抗原 (HLA) 是实体器官和造血细胞移植后不同结果的关键遗传系统。其多态性通常通过 DNA 水平的分子技术来确定。HLA 等位基因表达的潜在作用在供体和受者之间同种免疫反应的背景下仍在研究中。在这项研究中,我们通过 RNA 测序定量测定了三个 HLA Ⅰ类基因座(HLA-A、B 和 C)的等位基因表达,并进行了表达数量性状基因座 (eQTL) 分析,以调查 HLA 表达调控是否与非编码基因变异有关。HLA-B 等位基因的表达水平最高,其次是 HLA-C 和 HLA-A 等位基因。HLA-C 等位基因的最大折叠表达变化。不同个体的 HLA Ⅰ类基因座的表达显示出同一基因座的两个等位基因的协调和配对表达。不同 PBMC 中不同 HLA Ⅰ类单倍型的表达表明,HLA Ⅰ类两个等位基因和单倍型的表达是个体调节的。TNFα/IFNβ 细胞因子诱导 HLA Ⅰ类 RNA 和细胞表面表达的相似上调,但未修饰三个 HLA Ⅰ类基因座的个体协调表达。通过鉴定 HLA Ⅰ类基因的顺式 eQTL,我们表明非编码 eQTL 分别解释了未刺激细胞中 HLA-A、B 和 C 表达的 29%、13%和 31%,以及刺激细胞中 9%、23%和 50%的变异。与未刺激细胞相比,eQTL 在刺激细胞中对 HLA-B 和 HLA-C 基因表达的效应大小显著更高。我们的数据还表明,所鉴定的 eQTL 独立于定义 HLA 等位基因的编码变异,因此可能对等位基因内表达变异性有影响,尽管它们可能不是因果 eQTL。